Active Brownian particle explained
An active Brownian particle (ABP) is a model of self-propelled motion in a dissipative environment.[1] It is a nonequilibrium generalization of a Brownian particle.
The self-propulsion results from a force that acts on the particle's center of mass and points in the direction of an intrinsic body axis (the particle orientation). It is common to treat particles as spheres, though other shapes (such as rods) have also been studied. Both the center of mass and the direction of the propulsive force are subjected to white noise, which contributes a diffusive component to the overall dynamics. In its simplest version, the dynamics is overdamped and the propulsive force has constant magnitude, so that the magnitude of the velocity is likewise constant (speed-up to terminal velocity is instantaneous).
The term active Brownian particle usually refers to this simple model and its straightforward extensions, though some authors have used it for more general self-propelled particle models.
Equations of motion
Mathematically, an active Brownian particle is described by its center of mass coordinates
and a
unit vector
} giving the orientation. In two dimensions, the orientation vector can be parameterized by the
2D polar angle
, so that
} = (\cos \theta, \sin \theta). The equations of motion in this case are the following
stochastic differential equations:
} - (m \xi)^ \nabla V(\mathbf) + \sqrt \, \boldsymbol_(t) \\ \dot &= \sqrt \, \eta_(t).\endwhere
\begin{align}
\langleηrot(t)\rangle&=0; \langleηrot(t)ηrot(t')\rangle=\delta(t-t')\\
\langle\boldsymbol{η}trans(t)\rangle&=\boldsymbol{0}; \langle\boldsymbol{η}trans(t)
| \intercal |
\boldsymbol{η} | |
| trans |
(t')\rangle=I\delta(t-t')
\end{align}
with
the 2×2
identity matrix. The terms
and
are translational and rotational
white noise, which is understood as a heuristic representation of the
Wiener process. Finally,
is an external
potential,
is the mass,
is the friction,
is the magnitude of the self-propulsion velocity, and
and
are the translational and rotational
diffusion coefficients.
, which gives the probability, at time
, of finding a particle at position
and with orientation
. By averaging over the stochastic trajectories from the equations of motion,
can be shown to obey the following
partial differential equation:
+v0\hat{n} ⋅ \nablaf=(m\xi)-1\nabla ⋅ (\nablaV(r)f)+Dr
| \partial2f |
\partial\theta2 |
+Dt\nabla2f
Behavior
See also: Clustering of self-propelled particles. For an isolated particle far from boundaries, the combination of diffusion and self-propulsion produces a stochastic (fluctuating) trajectory that appears ballistic over short length scales and diffusive over large length scales. The transition from ballistic to diffusive motion is defined by a characteristic length
, called the persistence length.
In the presence of boundaries or other particles, more complex behavior is possible. Even in the absence of attractive forces, particles tend to accumulate at boundaries. Obstacles placed within a bath of active Brownian particles can induce long-range density variations and nonzero currents in steady state.
Sufficiently concentrated suspensions of active Brownian particles phase separate into a dense and dilute regions. The particles' motility drives a positive feedback loop, in which particles collide and hinder each other's motion, leading to further collisions and particle accumulation. At a coarse-grained level, a particle's effective self-propulsion velocity decreases with increased density, which promotes clustering. In the more general context of self-propelled particle models, this behavior is known as motility-induced phase separation. It is a type of athermal phase separation because it occurs even if the particles are spheres with hard-core (purely repulsive) interactions.
Variations
A variant of active Brownian motion involves complete directional reversals in addition to rotational diffusion. This movement pattern is seen in bacteria like Myxococcus xanthus, Pseudomonas putida, Pseudoalteromonas haloplanktis, Shewanella putrefaciens, and Pseudomonas citronellolis.
Sources
- Baek . Yongjoo . Solon . Alexandre P. . Xu . Xinpeng . Nikola . Nikolai . Kafri . Yariv . Generic Long-Range Interactions Between Passive Bodies in an Active Fluid . Physical Review Letters . American Physical Society (APS) . 120 . 5 . 2018-01-31 . 058002 . 0031-9007 . 10.1103/physrevlett.120.058002. 29481190 . 1721.1/114400 . 3744892 . 1709.02281.
- Bechinger . Clemens . Di Leonardo . Roberto . Löwen . Hartmut . Reichhardt . Charles . Volpe . Giorgio . Volpe . Giovanni . Active Particles in Complex and Crowded Environments . Reviews of Modern Physics . American Physical Society (APS) . 88 . 4 . 2016-11-23 . 0034-6861 . 10.1103/revmodphys.88.045006. 11693/36533 . 14940249 . free .
- Cates . Michael E. . Tailleur . Julien . Motility-Induced Phase Separation . Annual Review of Condensed Matter Physics . Annual Reviews . 6 . 1 . 2015-03-01 . 1947-5454 . 10.1146/annurev-conmatphys-031214-014710 . 219–244. 1406.3533 . 15672131 . Michael Cates.
- Fodor . Étienne . Cristina Marchetti . M. . The statistical physics of active matter: From self-catalytic colloids to living cells . Physica A: Statistical Mechanics and Its Applications . Elsevier BV . 504 . 2018 . 0378-4371 . 10.1016/j.physa.2017.12.137 . 106–120. 1708.08652 . 119450187 .
- Howse . Jonathan R. . Jones . Richard A. L. . Ryan . Anthony J. . Gough . Tim . Vafabakhsh . Reza . Golestanian . Ramin . 2007-07-27 . Self-Motile Colloidal Particles: From Directed Propulsion to Random Walk . Physical Review Letters . 99 . 4 . 048102 . 10.1103/PhysRevLett.99.048102. 0706.4406 .
- Marchetti . M. Cristina . Fily . Yaouen . Henkes . Silke . Patch . Adam . Yllanes . David . Minimal model of active colloids highlights the role of mechanical interactions in controlling the emergent behavior of active matter . Current Opinion in Colloid & Interface Science . Elsevier BV . 21 . 2016 . 1359-0294 . 10.1016/j.cocis.2016.01.003 . 34–43. 1510.00425 . 97138568 . M. Cristina Marchetti.
- Ni . Ran . Cohen Stuart . Martien A. . Bolhuis . Peter G. . Tunable Long Range Forces Mediated by Self-Propelled Colloidal Hard Spheres . Physical Review Letters . American Physical Society (APS) . 114 . 1 . 2015-01-07 . 018302 . 0031-9007 . 10.1103/physrevlett.114.018302. 25615510 . 8776685 . 1403.1533 .
- Peruani . Fernando . Active Brownian rods . The European Physical Journal Special Topics . Springer Science and Business Media LLC . 225 . 11–12 . 2016 . 1951-6355 . 10.1140/epjst/e2016-60062-0 . 2301–2317. 1512.07567 . 255387461 .
- Romanczuk . P. . Bär . M. . Ebeling . W. . Lindner . B. . Schimansky-Geier . L. . Active Brownian particles . The European Physical Journal Special Topics . Springer Science and Business Media LLC . 202 . 1 . 2012 . 1951-6355 . 10.1140/epjst/e2012-01529-y . 1–162. 1202.2442 . 255389128 .
- Santra . Ion . Basu . Urna . Sabhapandit . Sanjib . Active Brownian motion with directional reversals . Physical Review E . 13 July 2021 . 104 . 1 . L012601 . 2470-0045 . 2470-0053 . 10.1103/PhysRevE.104.L012601 . 34412243. 2101.11327 . 231718971 .
- Shaebani . M. Reza . Wysocki . Adam . Winkler . Roland G. . Gompper . Gerhard . Rieger . Heiko . Computational models for active matter . Nature Reviews Physics . Springer Science and Business Media LLC . 2 . 4 . 2020-03-10 . 2522-5820 . 10.1038/s42254-020-0152-1 . 181–199. 1910.02528 . 203836019 .
- Zöttl . Andreas . Stark . Holger . Emergent behavior in active colloids . Journal of Physics: Condensed Matter . IOP Publishing . 28 . 25 . 2016-05-11 . 0953-8984 . 10.1088/0953-8984/28/25/253001 . 253001. 3948148 . 1601.06643 .
Notes and References
- Howse . Jonathan R. . Jones . Richard A. L. . Ryan . Anthony J. . Gough . Tim . Vafabakhsh . Reza . Golestanian . Ramin . 2007-07-27 . Self-Motile Colloidal Particles: From Directed Propulsion to Random Walk . Physical Review Letters . 99 . 4 . 048102 . 10.1103/PhysRevLett.99.048102. 0706.4406 .